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Bilingual automatic text summarization using unsupervised deep learning

机译:使用无监督深度学习的双语自动文本摘要

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In the world of digitization, the growth of big data is raising at large scale with usage of high performance computing. The huge data in English and Hindi is available on internet and social media which need to be extracted or summarized in user required form. In this paper we are presenting Bilingual (Hindi and English) unsupervised automatic text summarization using deep learning. which is an important research area with in Natural Language Processing, Machine Learning and data mining, to improve result accuracy, we are using restricted Boltzmann machine to generate a shorter version of original document without losing its important information. In this algorithm we are exploring the features to improve the relevance of sentences in the dataset.
机译:在数字化的世界中,大数据的增长随着高性能计算的使用而大规模升高。在互联网和社交媒体上提供英语和印度的巨大数据,这些媒体需要以用户所需的形式提取或汇总。在本文中,我们正在使用深度学习呈现双语(印地文和英语)无监督的自动文本摘要。这是一个重要的研究领域,具有自然语言处理,机器学习和数据挖掘,提高结果准确性,我们正在使用受限制的Boltzmann机器在不失其重要信息的情况下生成更短版本的原始文档。在此算法中,我们正在探索功能,以提高数据集中句子的相关性。

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